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You searched for subject:(travel time prediction). Showing records 1 – 30 of 31 total matches.

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Delft University of Technology

1. Keijts, J. Advanced in-car route advice: Improvement of the Superroute-app urban travel time prediction:.

Degree: 2016, Delft University of Technology

 The Superroute-app, part of the Praktijkproef Amsterdam (PPA) provides commuters with an elaborate and personalized route advice and travel time prediction in the Amsterdam area.… (more)

Subjects/Keywords: urban travel time prediction

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Keijts, J. (2016). Advanced in-car route advice: Improvement of the Superroute-app urban travel time prediction:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:f66cbcd2-9a74-42aa-ae4c-487339be8828

Chicago Manual of Style (16th Edition):

Keijts, J. “Advanced in-car route advice: Improvement of the Superroute-app urban travel time prediction:.” 2016. Masters Thesis, Delft University of Technology. Accessed November 20, 2019. http://resolver.tudelft.nl/uuid:f66cbcd2-9a74-42aa-ae4c-487339be8828.

MLA Handbook (7th Edition):

Keijts, J. “Advanced in-car route advice: Improvement of the Superroute-app urban travel time prediction:.” 2016. Web. 20 Nov 2019.

Vancouver:

Keijts J. Advanced in-car route advice: Improvement of the Superroute-app urban travel time prediction:. [Internet] [Masters thesis]. Delft University of Technology; 2016. [cited 2019 Nov 20]. Available from: http://resolver.tudelft.nl/uuid:f66cbcd2-9a74-42aa-ae4c-487339be8828.

Council of Science Editors:

Keijts J. Advanced in-car route advice: Improvement of the Superroute-app urban travel time prediction:. [Masters Thesis]. Delft University of Technology; 2016. Available from: http://resolver.tudelft.nl/uuid:f66cbcd2-9a74-42aa-ae4c-487339be8828


Queensland University of Technology

2. Khoei, Amir Mohammad. Arterial short-term travel time prediction using Bluetooth data.

Degree: 2014, Queensland University of Technology

 This project recognized lack of data analysis and travel time prediction on arterials as the main gap in the current literature. For this purpose it… (more)

Subjects/Keywords: travel time prediction; travel time estimation; urban arterial; SARIMA; Bluetooth data

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APA (6th Edition):

Khoei, A. M. (2014). Arterial short-term travel time prediction using Bluetooth data. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/73816/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Khoei, Amir Mohammad. “Arterial short-term travel time prediction using Bluetooth data.” 2014. Thesis, Queensland University of Technology. Accessed November 20, 2019. https://eprints.qut.edu.au/73816/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Khoei, Amir Mohammad. “Arterial short-term travel time prediction using Bluetooth data.” 2014. Web. 20 Nov 2019.

Vancouver:

Khoei AM. Arterial short-term travel time prediction using Bluetooth data. [Internet] [Thesis]. Queensland University of Technology; 2014. [cited 2019 Nov 20]. Available from: https://eprints.qut.edu.au/73816/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Khoei AM. Arterial short-term travel time prediction using Bluetooth data. [Thesis]. Queensland University of Technology; 2014. Available from: https://eprints.qut.edu.au/73816/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Waterloo

3. WANG, WENFU. Short-Term Travel Time Prediction on Freeways.

Degree: 2019, University of Waterloo

 Short-term travel time prediction supports the implementation of proactive traffic management and control strategies to alleviate if not prevent congestion and enable rational route choices… (more)

Subjects/Keywords: travel time prediction; Bluetooth; short-term

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APA (6th Edition):

WANG, W. (2019). Short-Term Travel Time Prediction on Freeways. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/14733

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

WANG, WENFU. “Short-Term Travel Time Prediction on Freeways.” 2019. Thesis, University of Waterloo. Accessed November 20, 2019. http://hdl.handle.net/10012/14733.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

WANG, WENFU. “Short-Term Travel Time Prediction on Freeways.” 2019. Web. 20 Nov 2019.

Vancouver:

WANG W. Short-Term Travel Time Prediction on Freeways. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10012/14733.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

WANG W. Short-Term Travel Time Prediction on Freeways. [Thesis]. University of Waterloo; 2019. Available from: http://hdl.handle.net/10012/14733

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Ottawa

4. Aldokhayel, Abdulaziz. A Kalman Filter-based Dynamic Model for Bus Travel Time Prediction .

Degree: 2018, University of Ottawa

 Urban areas are currently facing challenges in terms of traffic congestion due to city expansion and population increase. In some cases, physical solutions are limited.… (more)

Subjects/Keywords: Intelligent Public Transit Systems; Travel time prediction; Bus arrival time prediction; Kalman filter

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APA (6th Edition):

Aldokhayel, A. (2018). A Kalman Filter-based Dynamic Model for Bus Travel Time Prediction . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/38060

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Aldokhayel, Abdulaziz. “A Kalman Filter-based Dynamic Model for Bus Travel Time Prediction .” 2018. Thesis, University of Ottawa. Accessed November 20, 2019. http://hdl.handle.net/10393/38060.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Aldokhayel, Abdulaziz. “A Kalman Filter-based Dynamic Model for Bus Travel Time Prediction .” 2018. Web. 20 Nov 2019.

Vancouver:

Aldokhayel A. A Kalman Filter-based Dynamic Model for Bus Travel Time Prediction . [Internet] [Thesis]. University of Ottawa; 2018. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10393/38060.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Aldokhayel A. A Kalman Filter-based Dynamic Model for Bus Travel Time Prediction . [Thesis]. University of Ottawa; 2018. Available from: http://hdl.handle.net/10393/38060

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

5. Zeng, Xiaosi. Dynamically Predicting Corridor Travel Time Under Incident Conditions Using a Neural Network Approach.

Degree: 2011, Texas A&M University

 The artificial neural network (ANN) approach has been recognized as a capable technique to model the highly complex and nonlinear problem of travel time prediction.… (more)

Subjects/Keywords: Neural Network; Incident; Travel Time Prediction; State-Space; Corridor; AVI

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zeng, X. (2011). Dynamically Predicting Corridor Travel Time Under Incident Conditions Using a Neural Network Approach. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7602

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zeng, Xiaosi. “Dynamically Predicting Corridor Travel Time Under Incident Conditions Using a Neural Network Approach.” 2011. Thesis, Texas A&M University. Accessed November 20, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7602.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zeng, Xiaosi. “Dynamically Predicting Corridor Travel Time Under Incident Conditions Using a Neural Network Approach.” 2011. Web. 20 Nov 2019.

Vancouver:

Zeng X. Dynamically Predicting Corridor Travel Time Under Incident Conditions Using a Neural Network Approach. [Internet] [Thesis]. Texas A&M University; 2011. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7602.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zeng X. Dynamically Predicting Corridor Travel Time Under Incident Conditions Using a Neural Network Approach. [Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7602

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Waterloo

6. Noroozisanani, Reza. Real Time Prediction of Traffic Speed and Travel Time Characteristics on Freeways.

Degree: 2017, University of Waterloo

Travel time is one of the important transportation performance measures, and represents the quality of service for most of the facilities. In other words, one… (more)

Subjects/Keywords: Short-term prediction; Traffic Speed; Travel Time; Traffic Speed Distribution

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APA (6th Edition):

Noroozisanani, R. (2017). Real Time Prediction of Traffic Speed and Travel Time Characteristics on Freeways. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/11225

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Noroozisanani, Reza. “Real Time Prediction of Traffic Speed and Travel Time Characteristics on Freeways.” 2017. Thesis, University of Waterloo. Accessed November 20, 2019. http://hdl.handle.net/10012/11225.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Noroozisanani, Reza. “Real Time Prediction of Traffic Speed and Travel Time Characteristics on Freeways.” 2017. Web. 20 Nov 2019.

Vancouver:

Noroozisanani R. Real Time Prediction of Traffic Speed and Travel Time Characteristics on Freeways. [Internet] [Thesis]. University of Waterloo; 2017. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10012/11225.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Noroozisanani R. Real Time Prediction of Traffic Speed and Travel Time Characteristics on Freeways. [Thesis]. University of Waterloo; 2017. Available from: http://hdl.handle.net/10012/11225

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Wisconsin – Milwaukee

7. Moonam, Hasan Md. Developing Sampling Strategies and Predicting Freeway Travel Time Using Bluetooth Data.

Degree: MS, Engineering, 2016, University of Wisconsin – Milwaukee

  Accurate, reliable, and timely travel time is critical to monitor transportation system performance and assist motorists with trip-making decisions. Travel time is estimated using… (more)

Subjects/Keywords: Arrival and Departure Time Based Travel Time; Boosting: LSBoost; Experienced and Expected Travel Time; Intelligent Transportation System Management; Kalman Filter; Travel Time Prediction; Civil Engineering; Transportation

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APA (6th Edition):

Moonam, H. M. (2016). Developing Sampling Strategies and Predicting Freeway Travel Time Using Bluetooth Data. (Thesis). University of Wisconsin – Milwaukee. Retrieved from https://dc.uwm.edu/etd/1391

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Moonam, Hasan Md. “Developing Sampling Strategies and Predicting Freeway Travel Time Using Bluetooth Data.” 2016. Thesis, University of Wisconsin – Milwaukee. Accessed November 20, 2019. https://dc.uwm.edu/etd/1391.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Moonam, Hasan Md. “Developing Sampling Strategies and Predicting Freeway Travel Time Using Bluetooth Data.” 2016. Web. 20 Nov 2019.

Vancouver:

Moonam HM. Developing Sampling Strategies and Predicting Freeway Travel Time Using Bluetooth Data. [Internet] [Thesis]. University of Wisconsin – Milwaukee; 2016. [cited 2019 Nov 20]. Available from: https://dc.uwm.edu/etd/1391.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Moonam HM. Developing Sampling Strategies and Predicting Freeway Travel Time Using Bluetooth Data. [Thesis]. University of Wisconsin – Milwaukee; 2016. Available from: https://dc.uwm.edu/etd/1391

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Waterloo

8. Izadpanah, Pedram. Freeway Travel Time Prediction Using Data from Mobile Probes.

Degree: 2010, University of Waterloo

 It is widely agreed that estimates of freeway segment travel times are more highly valued by motorists than other forms of traveller information. The provision… (more)

Subjects/Keywords: Travel Time Prediction; Shockwave; Traffic Flow Theory; Mobile Probes; Freeway Monitoring Systems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Izadpanah, P. (2010). Freeway Travel Time Prediction Using Data from Mobile Probes. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/5629

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Izadpanah, Pedram. “Freeway Travel Time Prediction Using Data from Mobile Probes.” 2010. Thesis, University of Waterloo. Accessed November 20, 2019. http://hdl.handle.net/10012/5629.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Izadpanah, Pedram. “Freeway Travel Time Prediction Using Data from Mobile Probes.” 2010. Web. 20 Nov 2019.

Vancouver:

Izadpanah P. Freeway Travel Time Prediction Using Data from Mobile Probes. [Internet] [Thesis]. University of Waterloo; 2010. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10012/5629.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Izadpanah P. Freeway Travel Time Prediction Using Data from Mobile Probes. [Thesis]. University of Waterloo; 2010. Available from: http://hdl.handle.net/10012/5629

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Virginia Tech

9. Elhenawy, Mohammed Mamdouh Zakaria. Appling Machine and Statistical Learning Techniques to Intelligent Transport Systems: Bottleneck Identification and Prediction, Dynamic Travel Time Prediction, Driver Run-Stop Behavior Modeling, and Autonomous Vehicle Control at Intersections.

Degree: PhD, Electrical and Computer Engineering, 2015, Virginia Tech

 In this dissertation, new algorithms that address three traffic problems of major importance are developed. First automatic identification and prediction algorithms are developed to identify… (more)

Subjects/Keywords: Machine learning; statistical learning; ITS; Bottlenecks Identification and Prediction; Dynamic Travel Time Prediction; Stop-run Driver Behavior Modeling; and uncontrolled intersection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Elhenawy, M. M. Z. (2015). Appling Machine and Statistical Learning Techniques to Intelligent Transport Systems: Bottleneck Identification and Prediction, Dynamic Travel Time Prediction, Driver Run-Stop Behavior Modeling, and Autonomous Vehicle Control at Intersections. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/73790

Chicago Manual of Style (16th Edition):

Elhenawy, Mohammed Mamdouh Zakaria. “Appling Machine and Statistical Learning Techniques to Intelligent Transport Systems: Bottleneck Identification and Prediction, Dynamic Travel Time Prediction, Driver Run-Stop Behavior Modeling, and Autonomous Vehicle Control at Intersections.” 2015. Doctoral Dissertation, Virginia Tech. Accessed November 20, 2019. http://hdl.handle.net/10919/73790.

MLA Handbook (7th Edition):

Elhenawy, Mohammed Mamdouh Zakaria. “Appling Machine and Statistical Learning Techniques to Intelligent Transport Systems: Bottleneck Identification and Prediction, Dynamic Travel Time Prediction, Driver Run-Stop Behavior Modeling, and Autonomous Vehicle Control at Intersections.” 2015. Web. 20 Nov 2019.

Vancouver:

Elhenawy MMZ. Appling Machine and Statistical Learning Techniques to Intelligent Transport Systems: Bottleneck Identification and Prediction, Dynamic Travel Time Prediction, Driver Run-Stop Behavior Modeling, and Autonomous Vehicle Control at Intersections. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10919/73790.

Council of Science Editors:

Elhenawy MMZ. Appling Machine and Statistical Learning Techniques to Intelligent Transport Systems: Bottleneck Identification and Prediction, Dynamic Travel Time Prediction, Driver Run-Stop Behavior Modeling, and Autonomous Vehicle Control at Intersections. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/73790


Virginia Tech

10. Chen, Hao. Real-time Traffic State Prediction: Modeling and Applications.

Degree: PhD, Civil and Environmental Engineering, 2014, Virginia Tech

Travel-time information is essential in Advanced Traveler Information Systems (ATISs) and Advanced Traffic Management Systems (ATMSs). A key component of these systems is the prediction(more)

Subjects/Keywords: Traffic state prediction; travel time prediction; instantaneous and experienced travel times; Van Aerde model; macroscopic traffic model; computer vision and pattern recognition; dynamic template matching; particle filter; agent-based model

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APA (6th Edition):

Chen, H. (2014). Real-time Traffic State Prediction: Modeling and Applications. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/64292

Chicago Manual of Style (16th Edition):

Chen, Hao. “Real-time Traffic State Prediction: Modeling and Applications.” 2014. Doctoral Dissertation, Virginia Tech. Accessed November 20, 2019. http://hdl.handle.net/10919/64292.

MLA Handbook (7th Edition):

Chen, Hao. “Real-time Traffic State Prediction: Modeling and Applications.” 2014. Web. 20 Nov 2019.

Vancouver:

Chen H. Real-time Traffic State Prediction: Modeling and Applications. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10919/64292.

Council of Science Editors:

Chen H. Real-time Traffic State Prediction: Modeling and Applications. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/64292


Louisiana State University

11. Osman, Osama Abdulmonaem Thabet. Connected Vehicle Technology: User and System Performance Characteristics.

Degree: PhD, Civil and Environmental Engineering, 2015, Louisiana State University

 The emerging connected vehicle (CV) technology plays a promising role in providing more operable and safer transportation environments. Yet, many questions remain unanswered as to… (more)

Subjects/Keywords: Connected Vehicle Technology; Driving Behavior; Human Factors; Connectivity Robustness; Travel Time Prediction; Roadside Units; Transportation Planning; Traffic Operation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Osman, O. A. T. (2015). Connected Vehicle Technology: User and System Performance Characteristics. (Doctoral Dissertation). Louisiana State University. Retrieved from etd-11052015-221358 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1064

Chicago Manual of Style (16th Edition):

Osman, Osama Abdulmonaem Thabet. “Connected Vehicle Technology: User and System Performance Characteristics.” 2015. Doctoral Dissertation, Louisiana State University. Accessed November 20, 2019. etd-11052015-221358 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1064.

MLA Handbook (7th Edition):

Osman, Osama Abdulmonaem Thabet. “Connected Vehicle Technology: User and System Performance Characteristics.” 2015. Web. 20 Nov 2019.

Vancouver:

Osman OAT. Connected Vehicle Technology: User and System Performance Characteristics. [Internet] [Doctoral dissertation]. Louisiana State University; 2015. [cited 2019 Nov 20]. Available from: etd-11052015-221358 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1064.

Council of Science Editors:

Osman OAT. Connected Vehicle Technology: User and System Performance Characteristics. [Doctoral Dissertation]. Louisiana State University; 2015. Available from: etd-11052015-221358 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1064


University of Waterloo

12. Bacca-Cortes, Gabriel. Coupling reactive transport and travel time modeling at the watershed scale.

Degree: 2018, University of Waterloo

 Nonpoint source pollution poses the greatest threat to water quality in developed countries. Modeling this type of pollution is a challenge for reactive transport models… (more)

Subjects/Keywords: travel time modeling; geomorphological analysis; heterogeneity; numerical modeling; 1-D analytical equation; watershed scale; reactive transport; ungauged watersheds; transferable prediction tools

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bacca-Cortes, G. (2018). Coupling reactive transport and travel time modeling at the watershed scale. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/13911

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bacca-Cortes, Gabriel. “Coupling reactive transport and travel time modeling at the watershed scale.” 2018. Thesis, University of Waterloo. Accessed November 20, 2019. http://hdl.handle.net/10012/13911.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bacca-Cortes, Gabriel. “Coupling reactive transport and travel time modeling at the watershed scale.” 2018. Web. 20 Nov 2019.

Vancouver:

Bacca-Cortes G. Coupling reactive transport and travel time modeling at the watershed scale. [Internet] [Thesis]. University of Waterloo; 2018. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10012/13911.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bacca-Cortes G. Coupling reactive transport and travel time modeling at the watershed scale. [Thesis]. University of Waterloo; 2018. Available from: http://hdl.handle.net/10012/13911

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


New Jersey Institute of Technology

13. DiJoseph, Patricia Kathleen. Optimization of path based sensor spacing on a freeway segment for travel time prediction during incidents.

Degree: PhD, Civil and Environmental Engineering, 2013, New Jersey Institute of Technology

  Congestion on freeways is increasing and a key source of it is non-recurring incidents. Accurate vehicle travel time predictions are needed during these incidents… (more)

Subjects/Keywords: Path based sensors; Macroscopic traffic modeling; Traffic incidents; Travel time prediction; Optimal sensor spacing; Incident characteristics distribution; Transportation Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

DiJoseph, P. K. (2013). Optimization of path based sensor spacing on a freeway segment for travel time prediction during incidents. (Doctoral Dissertation). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/dissertations/388

Chicago Manual of Style (16th Edition):

DiJoseph, Patricia Kathleen. “Optimization of path based sensor spacing on a freeway segment for travel time prediction during incidents.” 2013. Doctoral Dissertation, New Jersey Institute of Technology. Accessed November 20, 2019. https://digitalcommons.njit.edu/dissertations/388.

MLA Handbook (7th Edition):

DiJoseph, Patricia Kathleen. “Optimization of path based sensor spacing on a freeway segment for travel time prediction during incidents.” 2013. Web. 20 Nov 2019.

Vancouver:

DiJoseph PK. Optimization of path based sensor spacing on a freeway segment for travel time prediction during incidents. [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 2013. [cited 2019 Nov 20]. Available from: https://digitalcommons.njit.edu/dissertations/388.

Council of Science Editors:

DiJoseph PK. Optimization of path based sensor spacing on a freeway segment for travel time prediction during incidents. [Doctoral Dissertation]. New Jersey Institute of Technology; 2013. Available from: https://digitalcommons.njit.edu/dissertations/388


Delft University of Technology

14. Liu, H. Travel time prediction for urban networks.

Degree: 2008, Delft University of Technology

Subjects/Keywords: travel time prediction; urban networks; state space neural networks

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Liu, H. (2008). Travel time prediction for urban networks. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:03cc13d9-6445-4fce-9185-8798dce1293a ; urn:NBN:nl:ui:24-uuid:03cc13d9-6445-4fce-9185-8798dce1293a ; urn:NBN:nl:ui:24-uuid:03cc13d9-6445-4fce-9185-8798dce1293a ; http://resolver.tudelft.nl/uuid:03cc13d9-6445-4fce-9185-8798dce1293a

Chicago Manual of Style (16th Edition):

Liu, H. “Travel time prediction for urban networks.” 2008. Doctoral Dissertation, Delft University of Technology. Accessed November 20, 2019. http://resolver.tudelft.nl/uuid:03cc13d9-6445-4fce-9185-8798dce1293a ; urn:NBN:nl:ui:24-uuid:03cc13d9-6445-4fce-9185-8798dce1293a ; urn:NBN:nl:ui:24-uuid:03cc13d9-6445-4fce-9185-8798dce1293a ; http://resolver.tudelft.nl/uuid:03cc13d9-6445-4fce-9185-8798dce1293a.

MLA Handbook (7th Edition):

Liu, H. “Travel time prediction for urban networks.” 2008. Web. 20 Nov 2019.

Vancouver:

Liu H. Travel time prediction for urban networks. [Internet] [Doctoral dissertation]. Delft University of Technology; 2008. [cited 2019 Nov 20]. Available from: http://resolver.tudelft.nl/uuid:03cc13d9-6445-4fce-9185-8798dce1293a ; urn:NBN:nl:ui:24-uuid:03cc13d9-6445-4fce-9185-8798dce1293a ; urn:NBN:nl:ui:24-uuid:03cc13d9-6445-4fce-9185-8798dce1293a ; http://resolver.tudelft.nl/uuid:03cc13d9-6445-4fce-9185-8798dce1293a.

Council of Science Editors:

Liu H. Travel time prediction for urban networks. [Doctoral Dissertation]. Delft University of Technology; 2008. Available from: http://resolver.tudelft.nl/uuid:03cc13d9-6445-4fce-9185-8798dce1293a ; urn:NBN:nl:ui:24-uuid:03cc13d9-6445-4fce-9185-8798dce1293a ; urn:NBN:nl:ui:24-uuid:03cc13d9-6445-4fce-9185-8798dce1293a ; http://resolver.tudelft.nl/uuid:03cc13d9-6445-4fce-9185-8798dce1293a


Texas A&M University

15. Vanajakshi, Lelitha Devi. Estimation and prediction of travel time from loop detector data for intelligent transportation systems applications.

Degree: 2005, Texas A&M University

 With the advent of Advanced Traveler Information Systems (ATIS), short-term travel time prediction is becoming increasingly important. Travel time can be obtained directly from instrumented… (more)

Subjects/Keywords: Loop Detector Data; Data Quality Control; Travel Time Estimation; Travel Time Prediction; Support Vector Machines; Artificial Neural Networks

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vanajakshi, L. D. (2005). Estimation and prediction of travel time from loop detector data for intelligent transportation systems applications. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/2667

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Vanajakshi, Lelitha Devi. “Estimation and prediction of travel time from loop detector data for intelligent transportation systems applications.” 2005. Thesis, Texas A&M University. Accessed November 20, 2019. http://hdl.handle.net/1969.1/2667.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Vanajakshi, Lelitha Devi. “Estimation and prediction of travel time from loop detector data for intelligent transportation systems applications.” 2005. Web. 20 Nov 2019.

Vancouver:

Vanajakshi LD. Estimation and prediction of travel time from loop detector data for intelligent transportation systems applications. [Internet] [Thesis]. Texas A&M University; 2005. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/1969.1/2667.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vanajakshi LD. Estimation and prediction of travel time from loop detector data for intelligent transportation systems applications. [Thesis]. Texas A&M University; 2005. Available from: http://hdl.handle.net/1969.1/2667

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


EPFL

16. Yildirimoḡlu, Mehmet. Traffic modeling, forecasting and assignment in large-scale networks.

Degree: 2015, EPFL

 Today, the development and evaluation of traffic management strategies heavily relies on microscopic traffic simulation models. In case detailed input (i.e. od matrix, signal timings,… (more)

Subjects/Keywords: macroscopic fundamental diagram; dynamic traffic assignment; dynamic userequilibrium; dynamic stochastic user equilibrium; route guidance; system optimum; traffichysteresis; probe vehicles; travel time prediction; bottleneck identification; traffic flow; datamining; clustering; stochastic congestion maps; travel time variability; Monte Carlo simulation

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APA (6th Edition):

Yildirimoḡlu, M. (2015). Traffic modeling, forecasting and assignment in large-scale networks. (Thesis). EPFL. Retrieved from http://infoscience.epfl.ch/record/214556

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yildirimoḡlu, Mehmet. “Traffic modeling, forecasting and assignment in large-scale networks.” 2015. Thesis, EPFL. Accessed November 20, 2019. http://infoscience.epfl.ch/record/214556.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yildirimoḡlu, Mehmet. “Traffic modeling, forecasting and assignment in large-scale networks.” 2015. Web. 20 Nov 2019.

Vancouver:

Yildirimoḡlu M. Traffic modeling, forecasting and assignment in large-scale networks. [Internet] [Thesis]. EPFL; 2015. [cited 2019 Nov 20]. Available from: http://infoscience.epfl.ch/record/214556.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yildirimoḡlu M. Traffic modeling, forecasting and assignment in large-scale networks. [Thesis]. EPFL; 2015. Available from: http://infoscience.epfl.ch/record/214556

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Florida International University

17. Shen, Luou. Freeway Travel Time Estimation and Prediction Using Dynamic Neural Networks.

Degree: Civil Engineering, 2008, Florida International University

  Providing transportation system operators and travelers with accurate travel time information allows them to make more informed decisions, yielding benefits for individual travelers and… (more)

Subjects/Keywords: Trajectory Method; Intelligent Transportation System; Travel Time Prediction; Travel Time Estimation; Dynamic Neural Networks; Traffic Detector

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APA (6th Edition):

Shen, L. (2008). Freeway Travel Time Estimation and Prediction Using Dynamic Neural Networks. (Thesis). Florida International University. Retrieved from http://digitalcommons.fiu.edu/etd/17 ; 10.25148/etd.FI08121916 ; FI08121916

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Shen, Luou. “Freeway Travel Time Estimation and Prediction Using Dynamic Neural Networks.” 2008. Thesis, Florida International University. Accessed November 20, 2019. http://digitalcommons.fiu.edu/etd/17 ; 10.25148/etd.FI08121916 ; FI08121916.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Shen, Luou. “Freeway Travel Time Estimation and Prediction Using Dynamic Neural Networks.” 2008. Web. 20 Nov 2019.

Vancouver:

Shen L. Freeway Travel Time Estimation and Prediction Using Dynamic Neural Networks. [Internet] [Thesis]. Florida International University; 2008. [cited 2019 Nov 20]. Available from: http://digitalcommons.fiu.edu/etd/17 ; 10.25148/etd.FI08121916 ; FI08121916.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shen L. Freeway Travel Time Estimation and Prediction Using Dynamic Neural Networks. [Thesis]. Florida International University; 2008. Available from: http://digitalcommons.fiu.edu/etd/17 ; 10.25148/etd.FI08121916 ; FI08121916

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

18. Torrisi, Vincenza. Monitoraggio, stima e previsione real-time del traffico veicolare con tecnologie ITS. Implementazione di un sistema sperimentato nell'area urbana di Catania.

Degree: 2017, Università degli Studi di Catania

 First of all, the main focus of this study is the design and development (installation, implementation and calibration) of a traffic monitoring, estimating and short-term… (more)

Subjects/Keywords: Area 08 - Ingegneria civile e architettura; Traffic estimation and prediction, dynamic traffic assigment model, rolling horizon, traffic sensors, travel time reliability, intelligent transport systems

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APA (6th Edition):

Torrisi, V. (2017). Monitoraggio, stima e previsione real-time del traffico veicolare con tecnologie ITS. Implementazione di un sistema sperimentato nell'area urbana di Catania. (Thesis). Università degli Studi di Catania. Retrieved from http://hdl.handle.net/10761/4072

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Torrisi, Vincenza. “Monitoraggio, stima e previsione real-time del traffico veicolare con tecnologie ITS. Implementazione di un sistema sperimentato nell'area urbana di Catania.” 2017. Thesis, Università degli Studi di Catania. Accessed November 20, 2019. http://hdl.handle.net/10761/4072.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Torrisi, Vincenza. “Monitoraggio, stima e previsione real-time del traffico veicolare con tecnologie ITS. Implementazione di un sistema sperimentato nell'area urbana di Catania.” 2017. Web. 20 Nov 2019.

Vancouver:

Torrisi V. Monitoraggio, stima e previsione real-time del traffico veicolare con tecnologie ITS. Implementazione di un sistema sperimentato nell'area urbana di Catania. [Internet] [Thesis]. Università degli Studi di Catania; 2017. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10761/4072.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Torrisi V. Monitoraggio, stima e previsione real-time del traffico veicolare con tecnologie ITS. Implementazione di un sistema sperimentato nell'area urbana di Catania. [Thesis]. Università degli Studi di Catania; 2017. Available from: http://hdl.handle.net/10761/4072

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Clemson University

19. Ma, Yongchang. A REAL-TIME TRAFFIC CONDITION ASSESSMENT AND PREDICTION FRAMEWORK USING VEHICLE-INFRASTRUCTURE INTEGRATION (VII) WITH COMPUTATIONAL INTELLIGENCE.

Degree: PhD, Civil Engineering, 2008, Clemson University

 This research developed a real-time traffic condition assessment and prediction framework using Vehicle-Infrastructure Integration (VII) with computational intelligence to improve the existing traffic surveillance system.… (more)

Subjects/Keywords: VII; Simulation; PARAMICS; ns-2; travel time prediction; incident detection; Civil Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ma, Y. (2008). A REAL-TIME TRAFFIC CONDITION ASSESSMENT AND PREDICTION FRAMEWORK USING VEHICLE-INFRASTRUCTURE INTEGRATION (VII) WITH COMPUTATIONAL INTELLIGENCE. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/178

Chicago Manual of Style (16th Edition):

Ma, Yongchang. “A REAL-TIME TRAFFIC CONDITION ASSESSMENT AND PREDICTION FRAMEWORK USING VEHICLE-INFRASTRUCTURE INTEGRATION (VII) WITH COMPUTATIONAL INTELLIGENCE.” 2008. Doctoral Dissertation, Clemson University. Accessed November 20, 2019. https://tigerprints.clemson.edu/all_dissertations/178.

MLA Handbook (7th Edition):

Ma, Yongchang. “A REAL-TIME TRAFFIC CONDITION ASSESSMENT AND PREDICTION FRAMEWORK USING VEHICLE-INFRASTRUCTURE INTEGRATION (VII) WITH COMPUTATIONAL INTELLIGENCE.” 2008. Web. 20 Nov 2019.

Vancouver:

Ma Y. A REAL-TIME TRAFFIC CONDITION ASSESSMENT AND PREDICTION FRAMEWORK USING VEHICLE-INFRASTRUCTURE INTEGRATION (VII) WITH COMPUTATIONAL INTELLIGENCE. [Internet] [Doctoral dissertation]. Clemson University; 2008. [cited 2019 Nov 20]. Available from: https://tigerprints.clemson.edu/all_dissertations/178.

Council of Science Editors:

Ma Y. A REAL-TIME TRAFFIC CONDITION ASSESSMENT AND PREDICTION FRAMEWORK USING VEHICLE-INFRASTRUCTURE INTEGRATION (VII) WITH COMPUTATIONAL INTELLIGENCE. [Doctoral Dissertation]. Clemson University; 2008. Available from: https://tigerprints.clemson.edu/all_dissertations/178


Delft University of Technology

20. Van den Haak, W.P. Modeling Traffic Information using Bayesian Networks:.

Degree: 2010, Delft University of Technology

 Dutch freeways suffer from severe congestion during rush hours or incidents. Research shows that 64% of congested traffic during rush hour consists of commuter traffic… (more)

Subjects/Keywords: Bayesian Networks; dynamic Routing; travel time estimation; prediction; vehicle speed; forecasting; historical traffic models; traffic information system; freeway; highway; Inductive Loop Data; MONICA data

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Van den Haak, W. P. (2010). Modeling Traffic Information using Bayesian Networks:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:08ac4987-94f1-4674-9eb3-ede71f491af2

Chicago Manual of Style (16th Edition):

Van den Haak, W P. “Modeling Traffic Information using Bayesian Networks:.” 2010. Masters Thesis, Delft University of Technology. Accessed November 20, 2019. http://resolver.tudelft.nl/uuid:08ac4987-94f1-4674-9eb3-ede71f491af2.

MLA Handbook (7th Edition):

Van den Haak, W P. “Modeling Traffic Information using Bayesian Networks:.” 2010. Web. 20 Nov 2019.

Vancouver:

Van den Haak WP. Modeling Traffic Information using Bayesian Networks:. [Internet] [Masters thesis]. Delft University of Technology; 2010. [cited 2019 Nov 20]. Available from: http://resolver.tudelft.nl/uuid:08ac4987-94f1-4674-9eb3-ede71f491af2.

Council of Science Editors:

Van den Haak WP. Modeling Traffic Information using Bayesian Networks:. [Masters Thesis]. Delft University of Technology; 2010. Available from: http://resolver.tudelft.nl/uuid:08ac4987-94f1-4674-9eb3-ede71f491af2


University of Kentucky

21. Xia, Jingxin. DYNAMIC FREEWAY TRAVEL TIME PREDICTION USING SINGLE LOOP DETECTOR AND INCIDENT DATA.

Degree: 2006, University of Kentucky

 The accurate estimation of travel time is valuable for a variety of transportation applications such as freeway performance evaluation and real-time traveler information. Given the… (more)

Subjects/Keywords: Travel Time; SARIMA; Adaptive Kalman Filter; Multi-Step-Ahead Prediction; Incident

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Xia, J. (2006). DYNAMIC FREEWAY TRAVEL TIME PREDICTION USING SINGLE LOOP DETECTOR AND INCIDENT DATA. (Doctoral Dissertation). University of Kentucky. Retrieved from https://uknowledge.uky.edu/gradschool_diss/315

Chicago Manual of Style (16th Edition):

Xia, Jingxin. “DYNAMIC FREEWAY TRAVEL TIME PREDICTION USING SINGLE LOOP DETECTOR AND INCIDENT DATA.” 2006. Doctoral Dissertation, University of Kentucky. Accessed November 20, 2019. https://uknowledge.uky.edu/gradschool_diss/315.

MLA Handbook (7th Edition):

Xia, Jingxin. “DYNAMIC FREEWAY TRAVEL TIME PREDICTION USING SINGLE LOOP DETECTOR AND INCIDENT DATA.” 2006. Web. 20 Nov 2019.

Vancouver:

Xia J. DYNAMIC FREEWAY TRAVEL TIME PREDICTION USING SINGLE LOOP DETECTOR AND INCIDENT DATA. [Internet] [Doctoral dissertation]. University of Kentucky; 2006. [cited 2019 Nov 20]. Available from: https://uknowledge.uky.edu/gradschool_diss/315.

Council of Science Editors:

Xia J. DYNAMIC FREEWAY TRAVEL TIME PREDICTION USING SINGLE LOOP DETECTOR AND INCIDENT DATA. [Doctoral Dissertation]. University of Kentucky; 2006. Available from: https://uknowledge.uky.edu/gradschool_diss/315


Florida International University

22. Chen, Kai. Mitigating Congestion by Integrating Time Forecasting and Realtime Information Aggregation in Cellular Networks.

Degree: Electrical Engineering, 2011, Florida International University

  An iterative travel time forecasting scheme, named the Advanced Multilane Prediction based Real-time Fastest Path (AMPRFP) algorithm, is presented in this dissertation. This scheme… (more)

Subjects/Keywords: Cellular network location estimation; fingerprint method; real-time information aggregation; machine learning; travel time prediction and forecasting; floating car data; congestion mitigation; real-time routing; empirical learning; 1-D curve matching; fast normalized cross-correlation

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APA (6th Edition):

Chen, K. (2011). Mitigating Congestion by Integrating Time Forecasting and Realtime Information Aggregation in Cellular Networks. (Thesis). Florida International University. Retrieved from http://digitalcommons.fiu.edu/etd/412 ; 10.25148/etd.FI11050606 ; FI11050606

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chen, Kai. “Mitigating Congestion by Integrating Time Forecasting and Realtime Information Aggregation in Cellular Networks.” 2011. Thesis, Florida International University. Accessed November 20, 2019. http://digitalcommons.fiu.edu/etd/412 ; 10.25148/etd.FI11050606 ; FI11050606.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chen, Kai. “Mitigating Congestion by Integrating Time Forecasting and Realtime Information Aggregation in Cellular Networks.” 2011. Web. 20 Nov 2019.

Vancouver:

Chen K. Mitigating Congestion by Integrating Time Forecasting and Realtime Information Aggregation in Cellular Networks. [Internet] [Thesis]. Florida International University; 2011. [cited 2019 Nov 20]. Available from: http://digitalcommons.fiu.edu/etd/412 ; 10.25148/etd.FI11050606 ; FI11050606.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen K. Mitigating Congestion by Integrating Time Forecasting and Realtime Information Aggregation in Cellular Networks. [Thesis]. Florida International University; 2011. Available from: http://digitalcommons.fiu.edu/etd/412 ; 10.25148/etd.FI11050606 ; FI11050606

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Högskolan i Halmstad

23. Rosberg, Felix. Machine Learning-based path prediction for emergency vehicles.

Degree: 2018, Högskolan i Halmstad

Subjects/Keywords: machine learning; ambulance; travel time prediction; path prediction; LSTM; SVR; GPS; Computer Sciences; Datavetenskap (datalogi)

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APA (6th Edition):

Rosberg, F. (2018). Machine Learning-based path prediction for emergency vehicles. (Thesis). Högskolan i Halmstad. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-37216

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rosberg, Felix. “Machine Learning-based path prediction for emergency vehicles.” 2018. Thesis, Högskolan i Halmstad. Accessed November 20, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-37216.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rosberg, Felix. “Machine Learning-based path prediction for emergency vehicles.” 2018. Web. 20 Nov 2019.

Vancouver:

Rosberg F. Machine Learning-based path prediction for emergency vehicles. [Internet] [Thesis]. Högskolan i Halmstad; 2018. [cited 2019 Nov 20]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-37216.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rosberg F. Machine Learning-based path prediction for emergency vehicles. [Thesis]. Högskolan i Halmstad; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-37216

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

24. Ζεϊμπέκης, Βασίλειος. Σχεδιασμός και αξιολόγηση ενός συστήματος διαχείρισης στόλου οχημάτων σε πραγματικό χρόνο για την αντιμετώπιση δυναμικών γεγονότων κατά την εκτέλεση αστικών διανομών προϊόντων.

Degree: 2008, Athens University Economics and Business (AUEB); Οικονομικό Πανεπιστήμιο Αθηνών

 In urban freight distribution, the use of an initial distribution plan, although necessary, is by no means sufficient to address unexpected events such as traffic… (more)

Subjects/Keywords: Οχήματα, Διαχείριση στόλου σε πραγματικό χρόνο; Προϊόντα, Αστικές διανομές; Δυναμικά γεγονότα; Ταξίδια, Μέθοδοι πρόβλεψης χρόνου; Διοικητική μέριμνα; Real - time fleet management; Urban freight distributions; Dynamic events; Travel time prediction methods; Logistics

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APA (6th Edition):

Ζεϊμπέκης, . . (2008). Σχεδιασμός και αξιολόγηση ενός συστήματος διαχείρισης στόλου οχημάτων σε πραγματικό χρόνο για την αντιμετώπιση δυναμικών γεγονότων κατά την εκτέλεση αστικών διανομών προϊόντων. (Thesis). Athens University Economics and Business (AUEB); Οικονομικό Πανεπιστήμιο Αθηνών. Retrieved from http://hdl.handle.net/10442/hedi/16165

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ζεϊμπέκης, Βασίλειος. “Σχεδιασμός και αξιολόγηση ενός συστήματος διαχείρισης στόλου οχημάτων σε πραγματικό χρόνο για την αντιμετώπιση δυναμικών γεγονότων κατά την εκτέλεση αστικών διανομών προϊόντων.” 2008. Thesis, Athens University Economics and Business (AUEB); Οικονομικό Πανεπιστήμιο Αθηνών. Accessed November 20, 2019. http://hdl.handle.net/10442/hedi/16165.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ζεϊμπέκης, Βασίλειος. “Σχεδιασμός και αξιολόγηση ενός συστήματος διαχείρισης στόλου οχημάτων σε πραγματικό χρόνο για την αντιμετώπιση δυναμικών γεγονότων κατά την εκτέλεση αστικών διανομών προϊόντων.” 2008. Web. 20 Nov 2019.

Vancouver:

Ζεϊμπέκης . Σχεδιασμός και αξιολόγηση ενός συστήματος διαχείρισης στόλου οχημάτων σε πραγματικό χρόνο για την αντιμετώπιση δυναμικών γεγονότων κατά την εκτέλεση αστικών διανομών προϊόντων. [Internet] [Thesis]. Athens University Economics and Business (AUEB); Οικονομικό Πανεπιστήμιο Αθηνών; 2008. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10442/hedi/16165.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ζεϊμπέκης . Σχεδιασμός και αξιολόγηση ενός συστήματος διαχείρισης στόλου οχημάτων σε πραγματικό χρόνο για την αντιμετώπιση δυναμικών γεγονότων κατά την εκτέλεση αστικών διανομών προϊόντων. [Thesis]. Athens University Economics and Business (AUEB); Οικονομικό Πανεπιστήμιο Αθηνών; 2008. Available from: http://hdl.handle.net/10442/hedi/16165

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

25. Si, Weiping. A Statistics-based Framework for Bus Travel Time Prediction.

Degree: MS, Computer Science, 2012, Penn State University

 In this paper, we develop a statistics-based bus travel time prediction framework, called Historical Trajectory based Travel/Arrival Time Prediction (HTTP) for real-time prediction of travel(more)

Subjects/Keywords: Historical Trajectory; Travel Time Prediction; similar trajectory; passed segments; temporal feature

…derived from historical data. This approach, making constant prediction of the travel time for a… …prediction techniques for travel time estimation have been proposed [1, 2, 3, 4, 5, 6, 7]… …in this paper, we propose a new prediction framework to estimate the travel time of buses… …Fortunately, we do not need to capture all real-time data to make accurate travel time prediction… …time prediction framework, called Historical Trajectory based Travel/Arrival Time Prediction… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Si, W. (2012). A Statistics-based Framework for Bus Travel Time Prediction. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/15369

Chicago Manual of Style (16th Edition):

Si, Weiping. “A Statistics-based Framework for Bus Travel Time Prediction.” 2012. Masters Thesis, Penn State University. Accessed November 20, 2019. https://etda.libraries.psu.edu/catalog/15369.

MLA Handbook (7th Edition):

Si, Weiping. “A Statistics-based Framework for Bus Travel Time Prediction.” 2012. Web. 20 Nov 2019.

Vancouver:

Si W. A Statistics-based Framework for Bus Travel Time Prediction. [Internet] [Masters thesis]. Penn State University; 2012. [cited 2019 Nov 20]. Available from: https://etda.libraries.psu.edu/catalog/15369.

Council of Science Editors:

Si W. A Statistics-based Framework for Bus Travel Time Prediction. [Masters Thesis]. Penn State University; 2012. Available from: https://etda.libraries.psu.edu/catalog/15369


University of Toronto

26. Wong, Andrew Chun Kit. Travel Time Prediction Model for Regional Bus Transit.

Degree: 2009, University of Toronto

Over the past decade, the popularity of regional bus services has grown in large North American cities owing to more people living in suburban areas… (more)

Subjects/Keywords: regional bus; travel time prediction; ITS; GPS; loop detector; operational strategy; artificial neural network; 0543; 0800; 0709

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APA (6th Edition):

Wong, A. C. K. (2009). Travel Time Prediction Model for Regional Bus Transit. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/26531

Chicago Manual of Style (16th Edition):

Wong, Andrew Chun Kit. “Travel Time Prediction Model for Regional Bus Transit.” 2009. Masters Thesis, University of Toronto. Accessed November 20, 2019. http://hdl.handle.net/1807/26531.

MLA Handbook (7th Edition):

Wong, Andrew Chun Kit. “Travel Time Prediction Model for Regional Bus Transit.” 2009. Web. 20 Nov 2019.

Vancouver:

Wong ACK. Travel Time Prediction Model for Regional Bus Transit. [Internet] [Masters thesis]. University of Toronto; 2009. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/1807/26531.

Council of Science Editors:

Wong ACK. Travel Time Prediction Model for Regional Bus Transit. [Masters Thesis]. University of Toronto; 2009. Available from: http://hdl.handle.net/1807/26531


New Jersey Institute of Technology

27. Liu, Xiaobo. Development of dynamic recursive models for freeway travel time predictions.

Degree: PhD, Executive Committee for the Interdisciplinary Program in Transportation, 2004, New Jersey Institute of Technology

  Traffic congestion has been a major problem in metropolitan areas, which is caused by either insufficient roadway capacity or unforesceable incidents. In order to… (more)

Subjects/Keywords: Travel time prediction; Expontial smoothing model; Kalman filtering model; Moving average model; Transportation Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Liu, X. (2004). Development of dynamic recursive models for freeway travel time predictions. (Doctoral Dissertation). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/dissertations/635

Chicago Manual of Style (16th Edition):

Liu, Xiaobo. “Development of dynamic recursive models for freeway travel time predictions.” 2004. Doctoral Dissertation, New Jersey Institute of Technology. Accessed November 20, 2019. https://digitalcommons.njit.edu/dissertations/635.

MLA Handbook (7th Edition):

Liu, Xiaobo. “Development of dynamic recursive models for freeway travel time predictions.” 2004. Web. 20 Nov 2019.

Vancouver:

Liu X. Development of dynamic recursive models for freeway travel time predictions. [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 2004. [cited 2019 Nov 20]. Available from: https://digitalcommons.njit.edu/dissertations/635.

Council of Science Editors:

Liu X. Development of dynamic recursive models for freeway travel time predictions. [Doctoral Dissertation]. New Jersey Institute of Technology; 2004. Available from: https://digitalcommons.njit.edu/dissertations/635

28. Čelan, Marko. METODOLOGIJA IZRAČUNA NAPOVEDI PRIHODOV AVTOBUSOV NA POSTAJALIŠČA V REALNEM ČASU.

Degree: 2013, Univerza v Mariboru

V magistrskem delu je predlagana metodologija za izračun napovedi prihodov avtobusov na postajališče v realnem času. Metodologija v osnovi sestoji iz treh delov, in sicer… (more)

Subjects/Keywords: algoritem izračuna prihoda avtobusov na postajališče; potovalni čas; segment avtobusnega omrežja; RTPI sistem; RT informacije; trenutna lokacija avtobusa; algorithm for calculating bus arrival prediction; travel time; bus network segments; RTPI system; RT information; current bus location; info:eu-repo/classification/udc/656.132.022.5(043)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Čelan, M. (2013). METODOLOGIJA IZRAČUNA NAPOVEDI PRIHODOV AVTOBUSOV NA POSTAJALIŠČA V REALNEM ČASU. (Masters Thesis). Univerza v Mariboru. Retrieved from https://dk.um.si/IzpisGradiva.php?id=40484 ; https://dk.um.si/Dokument.php?id=59518&dn= ; https://plus.si.cobiss.net/opac7/bib/17212438?lang=sl

Chicago Manual of Style (16th Edition):

Čelan, Marko. “METODOLOGIJA IZRAČUNA NAPOVEDI PRIHODOV AVTOBUSOV NA POSTAJALIŠČA V REALNEM ČASU.” 2013. Masters Thesis, Univerza v Mariboru. Accessed November 20, 2019. https://dk.um.si/IzpisGradiva.php?id=40484 ; https://dk.um.si/Dokument.php?id=59518&dn= ; https://plus.si.cobiss.net/opac7/bib/17212438?lang=sl.

MLA Handbook (7th Edition):

Čelan, Marko. “METODOLOGIJA IZRAČUNA NAPOVEDI PRIHODOV AVTOBUSOV NA POSTAJALIŠČA V REALNEM ČASU.” 2013. Web. 20 Nov 2019.

Vancouver:

Čelan M. METODOLOGIJA IZRAČUNA NAPOVEDI PRIHODOV AVTOBUSOV NA POSTAJALIŠČA V REALNEM ČASU. [Internet] [Masters thesis]. Univerza v Mariboru; 2013. [cited 2019 Nov 20]. Available from: https://dk.um.si/IzpisGradiva.php?id=40484 ; https://dk.um.si/Dokument.php?id=59518&dn= ; https://plus.si.cobiss.net/opac7/bib/17212438?lang=sl.

Council of Science Editors:

Čelan M. METODOLOGIJA IZRAČUNA NAPOVEDI PRIHODOV AVTOBUSOV NA POSTAJALIŠČA V REALNEM ČASU. [Masters Thesis]. Univerza v Mariboru; 2013. Available from: https://dk.um.si/IzpisGradiva.php?id=40484 ; https://dk.um.si/Dokument.php?id=59518&dn= ; https://plus.si.cobiss.net/opac7/bib/17212438?lang=sl

29. Van Hinsbergen, C.P.Y. Bayesian Data Assimilation for Improved Modeling of Road Traffic.

Degree: 2010, TRAIL

 This thesis deals with the optimal use of existing models that predict certain phenomena of the road traffic system. Such models are extensively used in… (more)

Subjects/Keywords: traffic modeling; car-following modeling; travel time prediction; traffic state estimation; calibration; model comparison; Bayesian inference

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Van Hinsbergen, C. P. Y. (2010). Bayesian Data Assimilation for Improved Modeling of Road Traffic. (Doctoral Dissertation). TRAIL. Retrieved from http://resolver.tudelft.nl/uuid:1d7e9880-9f29-4d37-a815-46e5e2f50275 ; urn:NBN:nl:ui:24-uuid:1d7e9880-9f29-4d37-a815-46e5e2f50275 ; urn:NBN:nl:ui:24-uuid:1d7e9880-9f29-4d37-a815-46e5e2f50275 ; http://resolver.tudelft.nl/uuid:1d7e9880-9f29-4d37-a815-46e5e2f50275

Chicago Manual of Style (16th Edition):

Van Hinsbergen, C P Y. “Bayesian Data Assimilation for Improved Modeling of Road Traffic.” 2010. Doctoral Dissertation, TRAIL. Accessed November 20, 2019. http://resolver.tudelft.nl/uuid:1d7e9880-9f29-4d37-a815-46e5e2f50275 ; urn:NBN:nl:ui:24-uuid:1d7e9880-9f29-4d37-a815-46e5e2f50275 ; urn:NBN:nl:ui:24-uuid:1d7e9880-9f29-4d37-a815-46e5e2f50275 ; http://resolver.tudelft.nl/uuid:1d7e9880-9f29-4d37-a815-46e5e2f50275.

MLA Handbook (7th Edition):

Van Hinsbergen, C P Y. “Bayesian Data Assimilation for Improved Modeling of Road Traffic.” 2010. Web. 20 Nov 2019.

Vancouver:

Van Hinsbergen CPY. Bayesian Data Assimilation for Improved Modeling of Road Traffic. [Internet] [Doctoral dissertation]. TRAIL; 2010. [cited 2019 Nov 20]. Available from: http://resolver.tudelft.nl/uuid:1d7e9880-9f29-4d37-a815-46e5e2f50275 ; urn:NBN:nl:ui:24-uuid:1d7e9880-9f29-4d37-a815-46e5e2f50275 ; urn:NBN:nl:ui:24-uuid:1d7e9880-9f29-4d37-a815-46e5e2f50275 ; http://resolver.tudelft.nl/uuid:1d7e9880-9f29-4d37-a815-46e5e2f50275.

Council of Science Editors:

Van Hinsbergen CPY. Bayesian Data Assimilation for Improved Modeling of Road Traffic. [Doctoral Dissertation]. TRAIL; 2010. Available from: http://resolver.tudelft.nl/uuid:1d7e9880-9f29-4d37-a815-46e5e2f50275 ; urn:NBN:nl:ui:24-uuid:1d7e9880-9f29-4d37-a815-46e5e2f50275 ; urn:NBN:nl:ui:24-uuid:1d7e9880-9f29-4d37-a815-46e5e2f50275 ; http://resolver.tudelft.nl/uuid:1d7e9880-9f29-4d37-a815-46e5e2f50275

30. Li, Ying. Interest management scheme and prediction model in intelligent transportation systems.

Degree: PhD, Computing, 2012, Georgia Tech

 This thesis focuses on two important problems related to DDDAS: interest management (data distribution) and prediction models. In order to reduce communication overhead, we propose… (more)

Subjects/Keywords: ITS; DDDAS; Interest management; Travel time prediction; Mobile P2P; Intelligent transportation systems; Travel time (Traffic engineering); Machine learning; Artificial intelligence; Peer-to-peer architecture (Computer networks)

…values 57 Figure 28: Basic Structure of ANN for Travel Time Prediction 65 Figure 29… …efficiency, we present a travel time prediction model based on boosting, an important machine… …accuracy. We also explore the relationship between the accuracy of travel time prediction and the… …transportation systems. In addition to interest management, travel time prediction is another important… …provides a context for data distribution management. Travel time prediction models in intelligent… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Li, Y. (2012). Interest management scheme and prediction model in intelligent transportation systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/45856

Chicago Manual of Style (16th Edition):

Li, Ying. “Interest management scheme and prediction model in intelligent transportation systems.” 2012. Doctoral Dissertation, Georgia Tech. Accessed November 20, 2019. http://hdl.handle.net/1853/45856.

MLA Handbook (7th Edition):

Li, Ying. “Interest management scheme and prediction model in intelligent transportation systems.” 2012. Web. 20 Nov 2019.

Vancouver:

Li Y. Interest management scheme and prediction model in intelligent transportation systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/1853/45856.

Council of Science Editors:

Li Y. Interest management scheme and prediction model in intelligent transportation systems. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/45856

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